Synthesis Lectures on Computer Vision grāmatas

Computational Methods for Integrating Vision and Language

Kenichi Kanatani, Yasuyuki Sugaya

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Computational Texture and Patterns: From Textons to Deep Learning

Kristin J. Dana

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Elastic Shape Analysis of Three-Dimensional Objects

Sebastian Kurtek, Ian H. Jermyn, Anuj Srivastava, Hamid Laga

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The Maximum Consensus Problem: Recent Algorithmic Advances

David Suter, Tat-Jun Chin

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Camera Networks: The Acquisition and Analysis of Videos over Wide Areas

Bi Song, Amit K Roy-Chowdhury

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Person Re-Identification with Limited Supervision

Rameswar Panda, Amit K. Roy-Chowdhury

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Covariances in Computer Vision and Machine Learning

Hà Quang Minh, Vittorio Murino

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Computer Vision in the Infrared Spectrum: Challenges and Approaches

Angel D. Sappa, Michael Teutsch, Riad I. Hammoud

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Extreme Value Theory-Based Methods for Visual Recognition

Walter J. Scheirer

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Background Subtraction: Theory and Practice

Ahmed Elgammal

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Data Association for Multi-Object Visual Tracking

Margrit Betke, Zheng Wu

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Image-Based Modeling of Plants and Trees

Long Quan, Sing Bang Kang

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Ellipse Fitting for Computer Vision: Implementation and Applications

Yasushi Kanazawa, Kenichi Kanatani, Yasuyuki Sugaya

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Vision-Based Interaction

Gang Hua, Matthew Turk

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Probabilistic and Biologically Inspired Feature Representations

Michael Felsberg

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Multi-Modal Face Presentation Attack Detection

Hugo Jair Escalante, Sergio Escalera, Guodong Guo, Stan Z. Li, Jun Wan

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Deformable Surface 3D Reconstruction from Monocular Images

Mathieu Salzmann, Pascal Fua

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Boosting-Based Face Detection and Adaptation

Cha Zhang, Zhengyou Zhang

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A Guide to Convolutional Neural Networks for Computer Vision

Salman Khan, Mohammed Bennamoun, Syed Afaq Ali Shah, Hossein Rahmani

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Visual Domain Adaptation in the Deep Learning Era

Gabriela Csurka, Tatiana Tommasi, Mathieu Salzmann, Timothy M. Hospedales

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Normalization Techniques in Deep Learning

Lei Huang

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Fine-Grained Image Analysis: Modern Approaches

Xiu-Shen Wei

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Advances in Face Presentation Attack Detection

Hugo Jair Escalante, Sergio Escalera, Guodong Guo, Stan Z. Li, Jun Wan

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A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence

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Normalization Techniques in Deep Learning

Lei Huang

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Video Object Segmentation: Tasks, Datasets, and Methods

Xiankai Lu, Weiyao Lin, Ning Xu, Yunchao Wei

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Machine Unlearning for Governance of Foundation Models

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